Badong Chen

According to our database1, Badong Chen authored at least 228 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees.
IEEE Trans. Signal Processing, 2019

Quantized Minimum Error Entropy Criterion.
IEEE Trans. Neural Netw. Learning Syst., 2019

Extreme Learning Machine With Affine Transformation Inputs in an Activation Function.
IEEE Trans. Neural Netw. Learning Syst., 2019

A Novel Prognostic Approach for RUL Estimation With Evolving Joint Prediction of Continuous and Discrete States.
IEEE Trans. Industrial Informatics, 2019

Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection.
IEEE Trans. Circuits Syst. Video Techn., 2019

Robust High-Order Manifold Constrained Sparse Principal Component Analysis for Image Representation.
IEEE Trans. Circuits Syst. Video Techn., 2019

Linear Kalman Filtering Algorithm With Noisy Control Input Variable.
IEEE Trans. on Circuits and Systems, 2019

Blocked Maximum Correntropy Criterion Algorithm for Cluster-Sparse System Identifications.
IEEE Trans. on Circuits and Systems, 2019

Maximum Total Correntropy Diffusion Adaptation Over Networks With Noisy Links.
IEEE Trans. on Circuits and Systems, 2019

Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion.
IEEE Trans. on Circuits and Systems, 2019

A Novel Brain Decoding Method: A Correlation Network Framework for Revealing Brain Connections.
IEEE Trans. Cognitive and Developmental Systems, 2019

Brain-Inspired Cognitive Model With Attention for Self-Driving Cars.
IEEE Trans. Cognitive and Developmental Systems, 2019

Maximum Correntropy Criterion With Variable Center.
IEEE Signal Process. Lett., 2019

Granger Causality Analysis Based on Quantized Minimum Error Entropy Criterion.
IEEE Signal Process. Lett., 2019

Maximum correntropy adaptation approach for robust compressive sensing reconstruction.
Inf. Sci., 2019

Functional Source Separation for EEG-fMRI Fusion: Application to Steady-State Visual Evoked Potentials.
Front. Neurorobot., 2019

Robust Logistic Regression against Attribute and Label Outliers via Information Theoretic Learning.
CoRR, 2019

An encoding framework with brain inner state for natural image identification.
CoRR, 2019

Multi-Kernel Correntropy for Robust Learning.
CoRR, 2019

Minimum Error Entropy Kalman Filter.
CoRR, 2019

Maximum Correntropy Criterion with Variable Center.
CoRR, 2019

Robust Matrix Completion via Maximum Correntropy Criterion and Half Quadratic Optimization.
CoRR, 2019

Robust Normalized Least Mean Absolute Third Algorithms.
IEEE Access, 2019

Dual Graph Regularized Sparse Nonnegative Matrix Factorization for Data Representation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Exploring Brain Effective Connectivity in Visual Perception Using a Hierarchical Correlation Network.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2019

Mixed-Norm Based Broad Learning System for EEG Classification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Online Recorded Data-Based Composite Neural Control of Strict-Feedback Systems With Application to Hypersonic Flight Dynamics.
IEEE Trans. Neural Netw. Learning Syst., 2018

Insights Into the Robustness of Minimum Error Entropy Estimation.
IEEE Trans. Neural Netw. Learning Syst., 2018

Correntropy-Based Evolving Fuzzy Neural System.
IEEE Trans. Fuzzy Systems, 2018

Fairness constrained diffusion adaptive power control for dense small cell network.
Telecommunication Systems, 2018

Robust Learning With Kernel Mean p-Power Error Loss.
IEEE Trans. Cybernetics, 2018

Kernel Online Learning Algorithm With Scale Adaptation.
IEEE Trans. on Circuits and Systems, 2018

Random Fourier Filters Under Maximum Correntropy Criterion.
IEEE Trans. on Circuits and Systems, 2018

Robust Constrained Adaptive Filtering Under Minimum Error Entropy Criterion.
IEEE Trans. on Circuits and Systems, 2018

Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises.
IEEE Trans. on Circuits and Systems, 2018

Robust Adaptive Algorithm for Smart Antenna System With α-Stable Noise.
IEEE Trans. on Circuits and Systems, 2018

Reconstruction of Visual Image From Functional Magnetic Resonance Imaging Using Spiking Neuron Model.
IEEE Trans. Cognitive and Developmental Systems, 2018

Robust Matching Pursuit Extreme Learning Machines.
Scientific Programming, 2018

Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments.
Signal, Image and Video Processing, 2018

Bias compensated zero attracting normalized least mean square adaptive filter and its performance analysis.
Signal Processing, 2018

Bias-compensated normalized maximum correntropy criterion algorithm for system identification with noisy input.
Signal Processing, 2018

Correntropy Based Divided Difference Filtering for the Positioning of Ships.
Sensors, 2018

Sparse Support Matrix Machine.
Pattern Recognition, 2018

Mixture correntropy for robust learning.
Pattern Recognition, 2018

Chebyshev Functional Link Artificial Neural Network Based on Correntropy Induced Metric.
Neural Processing Letters, 2018

A novel spiking neural network of receptive field encoding with groups of neurons decision.
Frontiers of IT & EE, 2018

Exploiting the categorical reliability difference for binary classification.
J. Franklin Institute, 2018

Kernel recursive generalized mixed norm algorithm.
J. Franklin Institute, 2018

An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization.
J. Franklin Institute, 2018

Convergence analysis of nonlinear Kalman filters with novel innovation-based method.
Neurocomputing, 2018

Correntropy based graph regularized concept factorization for clustering.
Neurocomputing, 2018

Set-membership improved normalised subband adaptive filter algorithms for acoustic echo cancellation.
IET Signal Processing, 2018

Multivariate Correlation Entropy and Law Discovery in Large Data Sets.
IEEE Intelligent Systems, 2018

Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition.
CoRR, 2018

Remaining Useful Life Estimation of Aero-Engines with Self-Joint Prediction of Continuous and Discrete States.
CoRR, 2018

Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links.
CoRR, 2018

Augmented Space Linear Model.
CoRR, 2018

Deep Weighted Extreme Learning Machine.
Cognitive Computation, 2018

A contralateral channel guided model for EEG based motor imagery classification.
Biomed. Signal Proc. and Control, 2018

Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression.
IEEE Access, 2018

Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data.
IEEE Access, 2018

Sparse Normalized Least Mean Absolute Deviation Algorithm Based on Unbiasedness Criterion for System Identification With Noisy Input.
IEEE Access, 2018

Building Correspondence Based on Matching Triangles for Partial Registration.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Precise Point Set Registration with Color Assisted and Correntropy for 3D Reconstruction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Causality Analysis based on Matrix Transfer Entropy.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Precise Point Set Registration Using Point-to-Plane Distance and Correntropy for LiDAR Based Localization.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Robust sparse nonnegative matrix factorization based on maximum correntropy criterion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Robust Locality Preserving Projection Based on Kernel Risk-Sensitive Loss.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Incremental Adaptive EEG Classification of Motor Imagery-based BCI.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Augmented Space Linear Model.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Unified Framework of Random Feature KLMS Algorithms and Convergence Analysis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Incremental Self-Learning Algorithm with Robustness against Impulsive Noise.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Kernel Adaptive Hammerstein Filter.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering.
IEEE Trans. Signal Processing, 2017

Disturbance Observer Based Composite Learning Fuzzy Control of Nonlinear Systems with Unknown Dead Zone.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

Density-Dependent Quantized Least Squares Support Vector Machine for Large Data Sets.
IEEE Trans. Neural Netw. Learning Syst., 2017

Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing.
IEEE Trans. Geoscience and Remote Sensing, 2017

Improved affine projection subband adaptive filter for high background noise environments.
Signal Processing, 2017

A correntropy inspired variable step-size sign algorithm against impulsive noises.
Signal Processing, 2017

Maximum total correntropy adaptive filtering against heavy-tailed noises.
Signal Processing, 2017

Constrained maximum correntropy adaptive filtering.
Signal Processing, 2017

State space maximum correntropy filter.
Signal Processing, 2017

Recursive least mean p-power Extreme Learning Machine.
Neural Networks, 2017

Hybrid-augmented intelligence: collaboration and cognition.
Frontiers of IT & EE, 2017

Maximum correntropy unscented filter.
Int. J. Systems Science, 2017

Robust echo state networks based on correntropy induced loss function.
Neurocomputing, 2017

Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification.
International Journal of Computer Vision, 2017

Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction.
Eng. Appl. of AI, 2017

State space least p-power filter.
Digital Signal Processing, 2017

Robust Adaptive Volterra Filter Under Maximum Correntropy Criteria in Impulsive Environments.
CSSP, 2017

A Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections.
CoRR, 2017

Diffusion Adaptation Framework for Compressive Sensing Reconstruction.
CoRR, 2017

Quantized Minimum Error Entropy Criterion.
CoRR, 2017

Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient.
CoRR, 2017

Maximum Correntropy Adaptive Filtering Approach for Robust Compressive Sensing Reconstruction.
CoRR, 2017

Brain Inspired Cognitive Model with Attention for Self-Driving Cars.
CoRR, 2017

Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer.
Complexity, 2017

Maximum correntropy Kalman filter.
Automatica, 2017

General Mixed-Norm-Based Diffusion Adaptive Filtering Algorithm for Distributed Estimation Over Network.
IEEE Access, 2017

Maximum Correntropy Kalman Filter With State Constraints.
IEEE Access, 2017

Robust 2D point set matching with Kernel mean P-power error loss.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Correntropy induced metric based common spatial patterns.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Random fourier feature kernel recursive least squares.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Kernel least mean square based on conjugate gradient.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Steady-state mean square performance of a sparsified kernel least mean square algorithm.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Bias-compensated normalized least mean absolute deviation algorithm with noisy input.
Proceedings of the 20th International Conference on Information Fusion, 2017

Quaternion least mean kurtosis algorithm for adaptive filtering of 3D and 4D signal processes.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
Low Complexity Distributed Max-Throughput Algorithm for User Association in Heterogeneous Network.
Wireless Personal Communications, 2016

Generalized Correntropy for Robust Adaptive Filtering.
IEEE Trans. Signal Processing, 2016

Decentralized Dimensionality Reduction for Distributed Tensor Data Across Sensor Networks.
IEEE Trans. Neural Netw. Learning Syst., 2016

Improved-Variable-Forgetting-Factor Recursive Algorithm Based on the Logarithmic Cost for Volterra System Identification.
IEEE Trans. on Circuits and Systems, 2016

Sparse least mean p-power algorithms for channel estimation in the presence of impulsive noise.
Signal, Image and Video Processing, 2016

Convex regularized recursive maximum correntropy algorithm.
Signal Processing, 2016

A robust band-dependent variable step size NSAF algorithm against impulsive noises.
Signal Processing, 2016

Steady-state mean-square-deviation analysis of the sign subband adaptive filter algorithm.
Signal Processing, 2016

Robust MIMO radar target localization via nonconvex optimization.
Signal Processing, 2016

Efficient and robust deep learning with Correntropy-induced loss function.
Neural Computing and Applications, 2016

Sparse normalized subband adaptive filter algorithm with l0-norm constraint.
J. Franklin Institute, 2016

Collaborative adaptive Volterra filters for nonlinear system identification in α-stable noise environments.
J. Franklin Institute, 2016

Kernel least mean square with adaptive kernel size.
Neurocomputing, 2016

Correntropy induced joint power and admission control algorithm for dense small cell network.
IET Communications, 2016

Insights into Entropy as a Measure of Multivariate Variability.
Entropy, 2016

Self-organizing kernel adaptive filtering.
EURASIP J. Adv. Sig. Proc., 2016

Diffusion maximum correntropy criterion algorithms for robust distributed estimation.
Digital Signal Processing, 2016

Two Improved Normalized Subband Adaptive Filter Algorithms with Good Robustness Against Impulsive Interferences.
CSSP, 2016

A New Normalized Subband Adaptive Filter Algorithm with Individual Variable Step Sizes.
CSSP, 2016

Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty.
CSSP, 2016

A Novel Normalized Sign Algorithm for System Identification Under Impulsive Noise Interference.
CSSP, 2016

Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing.
CoRR, 2016

KLMAT: A Kernel Least Mean Absolute Third Algorithm.
CoRR, 2016

Robust Learning with Kernel Mean p-Power Error Loss.
CoRR, 2016

Improved functional link artificial neural network via convex combination for nonlinear active noise control.
Appl. Soft Comput., 2016

A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

ADMM for maximum correntropy criterion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Density-dependent quantized kernel least mean square.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A dictionary based survival error compensation for robust adaptive filtering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Extended Kalman filter under maximum correntropy criterion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Kernel adaptive filtering under generalized Maximum Correntropy Criterion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Adaptive convex combination filter under minimum error entropy criterion.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Sex Difference of Saccade Patterns in Emotional Facial Expression Recognition.
Proceedings of the Cognitive Systems and Signal Processing, 2016

A parameter-free Cauchy-Schwartz information measure for independent component analysis.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Kernel adaptive filtering subject to equality function constraints.
Proceedings of the 24th European Signal Processing Conference, 2016

Similarity Learning with Spatial Constraints for Person Re-identification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Developing a robust colorectal cancer (CRC) risk predictive model with the big genetic and environment related CRC data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Theoretical Methods in Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion.
IEEE Signal Process. Lett., 2015

Kernel recursive maximum correntropy.
Signal Processing, 2015

Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments.
J. Franklin Institute, 2015

Sequential extreme learning machine incorporating survival error potential.
Neurocomputing, 2015

Convergence of a Fixed-Point Minimum Error Entropy Algorithm.
Entropy, 2015

Minimum Error Entropy Algorithms with Sparsity Penalty Constraints.
Entropy, 2015

Proportionate Minimum Error Entropy Algorithm for Sparse System Identification.
Entropy, 2015

Robust Hammerstein Adaptive Filtering under Maximum Correntropy Criterion.
Entropy, 2015

Adaptive recursive algorithm with logarithmic transformation for nonlinear system identification in α-stable noise.
Digital Signal Processing, 2015

Smoothed least mean p-power error criterion for adaptive filtering.
Digital Signal Processing, 2015

Sparseness-Controlled Proportionate Affine Projection Sign Algorithms for Acoustic Echo Cancellation.
CSSP, 2015

Two improved normalized subband adaptive filter algorithms with good robustness against impulsive interferences.
CoRR, 2015

Set-membership versions of improved normalized subband adaptive filter algorithm for highly noisy system.
CoRR, 2015

Sparsity Aware Normalized Least Mean p-power Algorithms with Correntropy Induced Metric Penalty.
CoRR, 2015

Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments.
CoRR, 2015

Robust diffusion maximum correntropy criterion algorithm for distributed network estimation.
CoRR, 2015

Variable-mixing parameter quantized kernel robust mixed-norm algorithms for combating impulsive interference.
CoRR, 2015

Robust Adaptive Sparse Channel Estimation in the Presence of Impulsive Noises.
CoRR, 2015

Generalized Correntropy for Robust Adaptive Filtering.
CoRR, 2015

Maximum Correntropy Kalman Filter.
CoRR, 2015

Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum].
IEEE Comp. Int. Mag., 2015

fMRI Visual Image Reconstruction Using Sparse Logistic Regression with a Tunable Regularization Parameter.
Proceedings of the Knowledge Science, Engineering and Management, 2015

A switch kernel width method of correntropy for channel estimation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A variable step-size adaptive algorithm under maximum correntropy criterion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

On initial convergence behavior of the kernel least mean square algorithm.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Exponential C-Loss for data fitting.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An adaptive kernel width update method of correntropy for channel estimation.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

A dictionary updating scheme incorporating words elimination into Quantized Kernel Least-Mean-Squares for changing environments.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Sparsity aware normalized least mean p-power algorithms with correntropy induced metric penalty.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Trimmed diffusion least mean squares for distributed estimation.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Robust adaptive sparse channel estimation in the presence of impulsive noises.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Risk-sensitive loss in kernel space for robust adaptive filtering.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Illumination Robust Color Naming via Label Propagation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Sparsity aware minimum error entropy algorithms.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Long-term scalp epileptic EEG quantification with GMA dynamics.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A real-time permutation entropy computation for EEG signals.
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

A 128-way FPGA platform for the acceleration of KLMS algorithm.
Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015

2014
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS.
IEEE Trans. Signal Processing, 2014

Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion.
IEEE Signal Process. Lett., 2014

An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion.
Entropy, 2014

A Note on the W-S Lower Bound of the MEE Estimation.
Entropy, 2014

An Extended Result on the Optimal Estimation under Minimum Error Entropy Criterion.
CoRR, 2014

Kernel Least Mean Square with Adaptive Kernel Size.
CoRR, 2014

Vector quantization using survival Cauchy-Schwartz divergence.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Hardware implementation of KLMS algorithm using FPGA.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Kernel robust mixed-norm adaptive filtering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Trimmed affine projection algorithms.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration.
Proceedings of the IEEE International Conference on Acoustics, 2014

Feature selection based on survival Cauchy-Schwartz mutual information.
Proceedings of the IEEE International Conference on Acoustics, 2014

Hybrid affine projection algorithm.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Empirical survival error potential weighted least squares for binary pattern classification.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

A reconfigurable parallel acceleration platform for evaluation of permutation entropy.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Quantized Kernel Recursive Least Squares Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2013

Fixed budget quantized kernel least-mean-square algorithm.
Signal Processing, 2013

Kernel minimum error entropy algorithm.
Neurocomputing, 2013

Kernel adaptive filtering with confidence intervals.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Survival kernel with application to kernel adaptive filtering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Survival Information Potential: A New Criterion for Adaptive System Training.
IEEE Trans. Signal Processing, 2012

Quantized Kernel Least Mean Square Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2012

Maximum Correntropy Estimation Is a Smoothed MAP Estimation.
IEEE Signal Process. Lett., 2012

Mean square convergence analysis for kernel least mean square algorithm.
Signal Processing, 2012

A novel extended kernel recursive least squares algorithm.
Neural Networks, 2012

Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution Model.
Journal of Circuits, Systems, and Computers, 2012

On the Smoothed Minimum Error Entropy Criterion.
Entropy, 2012

Some Further Results on the Minimum Error Entropy Estimation.
Entropy, 2012

An adaptive kernel width update for correntropy.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Online efficient learning with quantized KLMS and L1 regularization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Δ-Entropy: Definition, properties and applications in system identification with quantized data.
Inf. Sci., 2011

Extended Kalman filter using a kernel recursive least squares observer.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Kernel adaptive filtering with maximum correntropy criterion.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Mean-square convergence analysis of ADALINE training with minimum error entropy criterion.
IEEE Trans. Neural Networks, 2010

A new interpretation on the MMSE as a robust MEE criterion.
Signal Processing, 2010

On optimal estimations with minimum error entropy criterion.
J. Franklin Institute, 2010

2008
Adaptive filtering under maximum mutual information criterion.
Neurocomputing, 2008

Adaptive filtering for desired error distribution under minimum information divergence criterion.
Proceedings of the International Joint Conference on Neural Networks, 2008

Information Theoretical Approach to Identification of Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 11th International Workshop, 2008

2007
Measure observability by the generalized informational correlation.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007


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